{"id":"W4403590144","doi":"10.48550/arxiv.2409.05869","title":"Using Process Mining to Improve Digital Service Delivery","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Service delivery framework; Service (business); Computer science; Process management; Business; Marketing; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001755562,0.0005458749,0.0005146322,0.0009450954,0.0002470026,0.001364846,0.0009152694,0.000311191,0.00005198403],"category_scores_gemma":[0.00005755048,0.0006106066,0.0002772567,0.002460028,0.00004319563,0.001208272,0.002831612,0.0005570169,0.0005733376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383284,"about_ca_system_score_gemma":0.000196176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110284,"about_ca_topic_score_gemma":0.0001301812,"domain_scores_codex":[0.9975325,0.000006616756,0.0003248616,0.001456625,0.0001750458,0.0005043932],"domain_scores_gemma":[0.9980806,0.00002422281,0.0003084664,0.0006001547,0.0009305068,0.00005610513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008360335,0.00009129578,0.002719785,0.003471811,0.0002944356,0.0002553073,0.0001482177,0.9882819,0.0001074867,0.002350331,0.0001992477,0.001996552],"study_design_scores_gemma":[0.0002242355,0.000003898819,0.00002915549,0.0007918577,0.0008981328,0.000001512068,0.0009346029,0.9739329,0.00001992683,0.02179047,0.0005480407,0.0008252288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769569,0.0001040638,0.0168697,0.0003394578,0.0007422253,0.0002616384,0.00003545877,0.000508204,0.004182355],"genre_scores_gemma":[0.9969042,0.000008833676,0.0001325946,0.0008392738,0.001151887,0.000002386506,0.00007999855,0.00009747171,0.000783337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01994732,"threshold_uncertainty_score":0.9996718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08445888668170512,"score_gpt":0.2014134935049438,"score_spread":0.1169546068232386,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}